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Variational Autoencoder: An Unsupervised Model for Encoding and Decoding fMRI Activity in Visual Cortex
Goal-driven and feedforward-only convolutional neural networks (CNN) have been shown to be able to predict and decode cortical responses to natural images or videos. Here, we explored an alternative deep neural network, variational auto-encoder (VAE), as a computational model of the visual cortex. W...
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| Pubblicato in: | Neuroimage |
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| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6592726/ https://ncbi.nlm.nih.gov/pubmed/31103784 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2019.05.039 |
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